Real-time operational performance monitoring and analysis
This interactive report analyzes system performance metrics including response times, throughput, error rates, and resource utilization.
<div class="metric-value">181ms</div>
<div class="metric-label">Avg Response Time</div>
<div class="metric-value">451</div>
<div class="metric-label">Avg Throughput (ops/sec)</div>
<div class="metric-value">3.89%</div>
<div class="metric-label">Avg Error Rate</div>
<div class="metric-value">63.7%</div>
<div class="metric-label">Avg CPU Usage</div>
<div class="metric-value">100</div>
<div class="metric-label">Anomalies Detected (10.0%)</div>
Key Findings:
| Metric | Mean | Median | SD | Min | Max |
|---|---|---|---|---|---|
| Response Time (ms) | 180.97 | 97.91 | 416.76 | 8.05 | 9366.08 |
| Throughput (ops/sec) | 450.56 | 450.00 | 20.92 | 387.00 | 516.00 |
| Error Rate (%) | 3.89 | 1.58 | 6.56 | 0.00 | 34.35 |
| CPU Usage (%) | 63.73 | 64.56 | 15.70 | 12.35 | 98.48 |
| Memory (MB) | 2059.74 | 2081.99 | 529.71 | 358.84 | 3987.53 |
| Concurrent Users | 75.28 | 75.00 | 8.90 | 48.00 | 103.00 |
Key Correlations:
Report Details:
This report was generated using R Markdown with interactive Plotly visualizations. The analysis uses sample data for demonstration purposes. For production use, replace the sample data generation with your actual performance metrics.
##
## ### R Session Information
## R version 4.3.0 (2023-04-21)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 24.04.3 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
## [4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
## [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
## [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
##
## time zone: UTC
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] scales_1.4.0 knitr_1.51 DT_0.34.0 plotly_4.11.0 dplyr_1.1.4
## [6] ggplot2_4.0.1
##
## loaded via a namespace (and not attached):
## [1] gtable_0.3.6 jsonlite_2.0.0 compiler_4.3.0 tidyselect_1.2.1
## [5] jquerylib_0.1.4 tidyr_1.3.2 yaml_2.3.12 fastmap_1.2.0
## [9] R6_2.6.1 generics_0.1.4 htmlwidgets_1.6.4 tibble_3.3.0
## [13] bslib_0.9.0 pillar_1.11.1 RColorBrewer_1.1-3 rlang_1.1.6
## [17] cachem_1.1.0 xfun_0.55 sass_0.4.10 S7_0.2.1
## [21] lazyeval_0.2.2 otel_0.2.0 viridisLite_0.4.2 cli_3.6.5
## [25] withr_3.0.2 magrittr_2.0.4 crosstalk_1.2.2 digest_0.6.39
## [29] grid_4.3.0 lifecycle_1.0.5 vctrs_0.6.5 evaluate_1.0.5
## [33] glue_1.8.0 data.table_1.18.0 farver_2.1.2 rmarkdown_2.30
## [37] purrr_1.2.0 httr_1.4.7 tools_4.3.0 pkgconfig_2.0.3
## [41] htmltools_0.5.9